Damiano Rotondo

Advances in Gain-Scheduling and Fault Tolerant Control Techniques (eBook, PDF)

• Format: PDF

Produktbeschreibung

This thesis reports on novel methods for gain-scheduling and fault tolerant control (FTC). It begins by analyzing the connection between the linear parameter varying (LPV) and Takagi-Sugeno (TS) paradigms. This is then followed by a detailed description of the design of robust and shifting state-feedback controllers for these systems. Furthermore, it presents two approaches to fault-tolerant control: the first is based on a robust polytopic controller design, while the second involves a reconfiguration of the reference model and the addition of virtual actuators into the loop. Inaddition the thesis offers a thorough review of the state-of-the art in gain scheduling and fault-tolerant control, with a special emphasis on LPV and TS systems.

Produktdetails

• Verlag: Springer International Publishing
• Erscheinungstermin: 14. Oktober 2017
• Englisch
• ISBN-13: 9783319629025
• Artikelnr.: 52943267

Inhaltsangabe

Introduction.- Part.- Advances in gain-scheduling techniques.- Background on gain-scheduling.- Automated generation and comparison of Takagi-Sugeno and polytopic quasi-LPV models.- Robust state-feedback control of uncertain LPV systems.- Shifting state-feedback control of LPV systems.- part 2.- Background on fault tolerant control.- Fault tolerant control of LPV systems using robust state-feedback control.- Fault tolerant control of LPV systems using reconfigured reference model and virtual actuators.- Fault tolerant control of unstable LPV systems subject to actuator saturations and fault isolation delay.- Conclusions and future work.

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Introduction.- Part.- Advances in gain-scheduling techniques.- Background on gain-scheduling.- Automated generation and comparison of Takagi-Sugeno and polytopic quasi-LPV models.- Robust state-feedback control of uncertain LPV systems.- Shifting state-feedback control of LPV systems.- part 2.- Background on fault tolerant control.- Fault tolerant control of LPV systems using robust state-feedback control.- Fault tolerant control of LPV systems using reconfigured reference model and virtual actuators.- Fault tolerant control of unstable LPV systems subject to actuator saturations and fault isolation delay.- Conclusions and future work.